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Strictly defined integer.
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@ -261,16 +261,16 @@ them mapping to respective C++ counterparts.
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.. note::
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This is a strict type, it will only allow input arguments of the specified
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NumPy type and nothing else (e.g., ``py::numpy_scalar<int64_t>`` will not
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accept built-in ``int`` or any other type for that matter).
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This is a strict type, it will only allows to specify NumPy type as input
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arguments, and does not allow other types of input parameters (e.g.,
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``py::numpy_scalar<int64_t>`` will not accept Python's builtin ``int`` ).
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.. note::
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Native C types are mapped to NumPy types in a platform specific way: for
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instance, ``char`` may be mapped to either ``np.int8`` or ``np.uint8``
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depending on the platform. If you want to ensure specific NumPy types,
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it is recommended to use fixed-width aliases from ``<cstdint>``.
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and ``long`` may use 4 or 8 bytes depending on the platform. Unless you
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clearly understand the difference and your needs, please use ``<cstdint>``.
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Vectorizing functions
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=====================
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@ -322,16 +322,16 @@ DECL_NPY_SCALAR(signed char, NPY_BYTE);
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DECL_NPY_SCALAR(unsigned char, NPY_UBYTE);
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// signed integer types
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DECL_NPY_SCALAR(short, NPY_SHORT);
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DECL_NPY_SCALAR(int, NPY_INT);
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DECL_NPY_SCALAR(std::int16_t, NPY_SHORT);
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DECL_NPY_SCALAR(std::int32_t, NPY_INT);
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DECL_NPY_SCALAR(std::int64_t, NPY_LONG);
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DECL_NPY_SCALAR(long, NPY_LONG);
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DECL_NPY_SCALAR(long long, NPY_LONGLONG);
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// unsigned integer types
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DECL_NPY_SCALAR(unsigned short, NPY_USHORT);
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DECL_NPY_SCALAR(unsigned int, NPY_UINT);
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DECL_NPY_SCALAR(std::uint16_t, NPY_USHORT);
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DECL_NPY_SCALAR(std::uint32_t, NPY_UINT);
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DECL_NPY_SCALAR(std::uint64_t, NPY_ULONG);
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DECL_NPY_SCALAR(unsigned long, NPY_ULONG);
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DECL_NPY_SCALAR(unsigned long long, NPY_ULONGLONG);
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// floating point types
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DECL_NPY_SCALAR(float, NPY_FLOAT);
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